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Forecasting Training Courses

Local instructor-led live Forecasting training courses in Hong Kong.

Testimonials

★★★★★

★★★★★

What did you like the most about the training?:
Trainer's subject knowledge was such that complex subjects seemed easy, and he genuinely inspired me with enthusiasm for the topic. My session worked out as 1:1, and it was a real privilege to get the benefit of such a high caliber of trainer in the context of personal tuition.

Harry Frost - Babcock International

Course: Market Forecasting

What did you like the most about the training?
Trainer's subject knowledge was such that complex subjects seemed easy, and he genuinely inspired me with enthusiasm for the topic. My session worked out as 1:1, and it was a real privilege to get the benefit of such a high caliber of trainer in the context of personal tuition.

Harry Frost - Babcock International

Course: Market Forecasting

The material covered was interesting and the trainer was knowledgeable.

Neghat Khan

Course: Modelling and Forecasting for Government

Good rapport with the audience, good & accessible explanation/presentation and he relates 'tech' stuff to real life examples which makes things easier to understand.

Ray Rusike

Course: Modelling and Forecasting for Government

I was benefit from the excellent knowledge of the trainer, useful examples.

Jonathan Harrison

Course: Modelling and Forecasting for Government

The topics were relevant to my role and I will be able to use this immediately in my work and in the future.

Rani Nandra

Course: Modelling and Forecasting for Government

A very coherent and systematic refresher on forecasting models and useful applications.

Forecasting Course Outlines

This course has been created for analysts, forecasters wanting to introduce or improve forecasting which can be related to sale forecasting, economic forecasting, technology forecasting, supply chain management and demand or supply forecasting.

Description

This course guides delegates through series of methodologies, frameworks and algorithms which are useful when choosing how to predict the future based on historical data.

It uses standard tools like Microsoft Excel or some Open Source programs (notably R project).

The principles covered in this course can be implemented by any software (e.g. SAS, SPSS, Statistica, MINITAB ...)